title: Multi-stage intra-patient template matching for prostate detection in MR volumes.
abstract: Detecting objects, a significant task in computer vision, is accompanied with many challenges. When we focus on medical images, the challenges of detecting an organ or a tumour exhibit their own specific difficulties. Automatic finding of the prostate gland in magnetic resonance (MR) images, for instance, is a needed task in some clinical procedures. In this paper we propose a novel method for detection of the prostate gland in MR images. We use a multi-stage intra-patient approach to the template matching which is based on a trained dataset. We conduct experiments with the images of 100 patients and report preliminary results that seem to be promising.
authors.forename: Zeinab
authors.initials: Z
authors.lastname: Jahed
authors.forename: Khaled
authors.initials: K
authors.lastname: Shaban
authors.forename: Hamid R
authors.initials: HR
authors.lastname: Tizhoosh
mesh_terms: D000465:Algorithms; D019992:Databases as Topic; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D009929:Organ Size; D011467:Prostate / Q000033:anatomy & histology*